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biological or other research data. Utilizes and develops algorithms, computational techniques, and statistical methodologies. Helps in the design of new experiments. Implements end-user needs in database
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spatial resolution, phase sensitivity, temporal stability, and reconstruction accuracy. Integrate experimental measurements with computational reconstruction pipelines to enable robust and accurate 3D
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17 Feb 2026 Job Information Organisation/Company Ghent University Research Field Computer science » Other Criminology » Other Mathematics » Applied mathematics Mathematics » Statistics Sociology
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learning, AI, or statistical modeling applied to biological data Experience with genomics, transcriptomics, single-cell and/or spatial omics technologies Proficiency in scientific computing frameworks Strong
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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, Python, Julia, etc. Demonstrated experience working with spatial epidemiological, ecological, or environmental data, including hands-on use of GIS, spatial statistics, or other spatially relevant methods
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aseismic deformation, background seismicity, swarms, and repeating earthquakes is key to constraining models of subduction dynamics and earthquake preparation. The PhD will build on dense seismo-geodetic
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, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies
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statistical and machine learning methodologies to analyze and predict aspects of the collected data With the guidance of Drs. Stuber and Bruchas, develop experimental methodologies related to two-photon imaging
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statistics of mean and extreme wind events over the Baltic Sea region. Tellus A, 67, 29073. https://doi.org/10.3402/tellusa.v67.29073 Björkqvist, J.-V., Lukas, I., Alari, V., van Vledder, P.G., Hulst, S